Learning in Games with Cumulative Prospect Theoretic Preferences.
Dyn. Games Appl., March, 2023
MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning.
Trans. Mach. Learn. Res., 2023
AI For Global Climate Cooperation 2023 Competition Proceedings.
CoRR, 2023
Online Pricing for Multi-User Multi-Item Markets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N.
CoRR, 2022
Interactive Recommendations for Optimal Allocations in Markets with Constraints.
CoRR, 2022
Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning.
CoRR, 2022
Mechanism Design for Cumulative Prospect Theoretic Agents: A General Framework and the Revelation Principle.
CoRR, 2021
On the Impossibility of Convergence of Mixed Strategies with No Regret Learning.
CoRR, 2020
Utility-based Resource Allocation and Pricing for Serverless Computing.
CoRR, 2020
Black-Box Strategies and Equilibrium for Games with Cumulative Prospect Theoretic Players.
CoRR, 2020
On the Geometry of Nash and Correlated Equilibria with Cumulative Prospect Theoretic Preferences.
Decis. Anal., 2019
Optimal Resource Allocation over Networks via Lottery-Based Mechanisms.
Proceedings of the Game Theory for Networks, 2019
A Distributed Boyle-Dykstra-Han Scheme.
SIAM J. Optim., 2017